The first eight weeks of the course uses the book Linear System Theory and Design International Fourth Edition (The Oxford Series in Electrical and Computer Engineering) (Chen, Chi-Tsong) (Z-Library).pdf, and focuses mostly on deterministic systems.

  • Models are assumed to be exact, except some cases with uncertainty, disturbances and measurement noise. Real world systems are therefore modeled with the cases mentioned over.
  • Random processes
  • Stochastic systems
  • State Estimation with uncertainties (Kalman Filter)

The last 4 weeks will talk about

  • Expectation
  • Variance
  • Autocorrelation
  • Power spectrum
  • Correlation/Covariance
  • Systems with random inputs or initial values
  • Mean and Covariance
  • Optimal estimation of random processes - Kalman Filter in continous and discrete time
  • Noise shaping for Kalman Filter systems